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Atomic-level, large-scale structure prediction of G protein-coupled receptors

Atomic-level, large-scale structure prediction of G protein-coupled receptors
G蛋白偶联受体的原子水平大规模结构预测
批准号:
8233525
负责人:
Yang Zhang
金额:
$31.59万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-05-01 至 2014-02-28

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中文摘要
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英文摘要
Description/Project Summary G protein-coupled receptors (GPCRs) are the largest family of integral membrane proteins that occur in nearly every eukaryotic cell to transduce an extracellular signal (ligand binding) into an intracellular signal (G protein activation). This essential physiological role makes them the most important pharmaceutical targets which comprise approximately half of today's modern medicinal drugs. Clearly, 3D-structures of GPCRs would provide essential atomic-level information for elucidating the molecular organization and for efficient virtual screening of drug databases. However, except for the recently solved human beta2-andrenergic receptor, it has not yet been possible to obtain experimental structural information for other human GPCRs. Building on the recent success of the threading assemble refinement (TASSER) algorithm for reduced-level GPCR modeling, this proposal seeks to develop new computational methodologies for the generation of experiment- validated, atomic-level GPCR models. The focus will be on five pharmaceutically important families including Adrenergic, Chemokine, Dopamine, Histamine, and Muscarinic acetylcholine. Specific aims of the project are: (1) Development and benchmarking of a new GPCR-TASSER algorithm for atomic-level GPCR protein structure modeling. (2) Development and optimization of composite atomic and reduced GPCR potentials. (3) Dissemination of GPCR-TASSER algorithm for public use and examination. (4) Application of GPCR-TASSER to the pharmaceutically important GPCRs. (5) Validation and refinement of the GPCR models with experiment collaborators. The long-term goals are (a) to develop a set of computer algorithms for automated and atomic- level GPCR structure prediction (b) to extend the methodology to proteomic-scale structure modeling for all GPCRs in UniProt database (c) to construct a central repository for publicly-accessible GPCR algorithms and structure databases which are designed to eventually alleviate the urgent need in biology and medical communities for the detailed atomic GPCR structures.
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Bright and switchable fluorophores for highly multiplexed super-resolution microscopy towards molecular interaction imaging
  • 批准号:
    10195413
  • 项目类别:
  • 资助金额:
    $19.96万
  • 财政年份:
    2021
  • 负责人:
    Yang Zhang
  • 依托单位:
Bright and switchable fluorophores for highly multiplexed super-resolution microscopy towards molecular interaction imaging
  • 批准号:
    10439600
  • 项目类别:
  • 资助金额:
    $0.0万
  • 财政年份:
    2021
  • 负责人:
    Yang Zhang
  • 依托单位:
Bright and switchable fluorophores for highly multiplexed super-resolution microscopy towards molecular interaction imaging
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海外基金